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Record W1983662813 · doi:10.5737/1181912x18118

Supportive care needs of women with lung cancer

2008· article· en· W1983662813 on OpenAlexafffundvenue
Margaret I. Fitch, Rose Steele

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2008
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsSunnybrook Health Science Centre
FundersLung Health Foundation
KeywordsExploratory researchMedicineDistressLung cancerNeeds assessmentFamily medicineCancerEmotional supportNursingSocial supportPsychologyClinical psychologyOncologyInternal medicinePsychotherapist

Abstract

fetched live from OpenAlex

The main purpose of this exploratory study was to identify the supportive care needs of women with lung cancer who attend an ambulatory regional cancer centre. Lung cancer has more than a physical impact on those who are diagnosed with the disease, yet relatively little has been reported on the supportive care needs beyond those for symptom management. A total of 34 women diagnosed with lung cancer participated in this exploratory study by completing a self-report questionnaire (Supportive Care Needs Survey). The data provided clear indication that a range of needs exists for this group of women and many needs remain unmet. Lack of energy, pain, and concern about those close to them were the most frequently reported needs. Patients expressed difficulty managing their needs and many experienced emotional distress because of their difficulties. Suggestions for practice and future research are offered to assist cancer nurses in caring for this group of patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.301
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2008
Admission routes3
Has abstractyes

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